DocumentCode
122467
Title
Real-world evaluation of Sensor Context-aware Adaptive Duty-cycled opportunistic routing
Author
Zhongliang Zhao ; Braun, Torsten
Author_Institution
Inst. of Comput. Sci. & Appl. Math., Univ. of Bern, Bern, Switzerland
fYear
2014
fDate
8-11 Sept. 2014
Firstpage
124
Lastpage
132
Abstract
Energy is of primary concern in wireless sensor networks (WSNs). Low power transmission makes the wireless links unreliable, which leads to frequent topology changes. Resulting packet retransmissions aggravate the energy consumption. Beaconless routing approaches, such as opportunistic routing (OR) choose packet forwarders after data transmissions, and are promising to support dynamic features of WSNs. This paper proposes SCAD - Sensor Context-aware Adaptive Duty-cycled beaconless OR for WSNs. SCAD is a cross-layer routing solution and it brings the concept of beaconless OR into WSNs. SCAD selects packet forwarders based on multiple types of network contexts. To achieve a balance between performance and energy efficiency, SCAD adapts duty-cycles of sensors based on real-time traffic loads and energy drain rates. We implemented SCAD in TinyOS running on top of Tmote Sky sensor motes. Real-world evaluations show that SCAD outperforms other protocols in terms of both throughput and network lifetime.
Keywords
energy conservation; energy consumption; radio links; telecommunication network routing; telecommunication power management; wireless sensor networks; SCAD; TinyOS; Tmote Sky sensor motes; WSN; beaconless routing; cross-layer routing; data transmissions; energy consumption; energy efficiency; low power transmission; packet forwarders; packet retransmissions; sensor context-aware adaptive duty-cycled opportunistic routing; wireless links; wireless sensor networks; Context; Energy consumption; Measurement; Protocols; Routing; Wireless communication; Wireless sensor networks; Adaptive duty cycle; Beaconless opportunistic routing; Context awareness; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks (LCN), 2014 IEEE 39th Conference on
Conference_Location
Edmonton, AB
Print_ISBN
978-1-4799-3778-3
Type
conf
DOI
10.1109/LCN.2014.6925764
Filename
6925764
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